Title
Automatic Car Damage Assessment System: Reading And Understanding Videos As Professional Insurance Inspectors
Abstract
We demonstrate a car damage assessment system in car insurance field based on artificial intelligence techniques, which can exempt insurance inspectors from checking cars on site and help people without professional knowledge to evaluate car damages when accidents happen. Unlike existing approaches, we utilize videos instead of photos to interact with users to make the whole procedure as simple as possible. We adopt object and video detection and segmentation techniques in computer vision, and take advantage of multiple frames extracted from videos to achieve high damage recognition accuracy. The system uploads video streams captured by mobile devices, recognizes car damage on the cloud asynchronously and then returns damaged components and repair costs to users. The system evaluates car damages and returns results automatically and effectively in seconds, which reduces laboratory costs and decreases insurance claim time significantly.
Year
DOI
Venue
2020
10.1609/AAAI.V34I09.7110
AAAI
DocType
Volume
Issue
Conference
34
09
ISSN
Citations 
PageRank 
2159-5399
0
0.34
References 
Authors
0
10
Name
Order
Citations
PageRank
Wei Zhang11221180.16
Cheng Yuan2157.19
Xin Guo300.34
Qingpei Guo400.34
Jian Wang56531.94
Qing Wang634576.64
Chen Jiang700.68
Meng Wang800.68
Furong Xu943.19
Wei Chu10185.48